Journal Title : International Journal of Modern Trends in Engineering and Science
Paper Title : EXPONENTIAL CONTRAST RESTORATION IN FOG CONDITIONS FOR DRIVING ASSISTANCE
Volume 03 Issue 10 2016
ISSN no: 2348-3121
Page no: 108-109
Abstract – Images of outdoor scenes captured in bad weather suffer from poor contrast. Under bad weather conditions, the light reaching a camera is severely scattered by the atmosphere. So the image is getting highly degraded due to additive light. Additive light is created by mixing the visible light that is emitted from different light source. This additive light is called air light. Air light is not uniformly distributed in the image. Bad weather reduces atmospheric visibility. Poor visibility degrades perceptual image quality and performance of the computer vision algorithms such as surveillance, tracking and navigation. From the atmospheric point of view, weather conditions differ mainly in the types and sizes of the particles present in the space. A great effort has taken for measuring the size of these particles. Here the effective is method is used to restore degraded images based on an original mathematical model, for computing the atmospheric veil, taking into account the variation in haze density to the distance.
Keywords— Driving Assistance; Restoration; Image Processing
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